kyupy/tests/test_wave_sim.py

import numpy as np

from kyupy.wave_sim import WaveSim, WaveSimCuda, wave_eval_cpu, TMIN, TMAX
from kyupy.logic_sim import LogicSim
from kyupy import verilog, sdf, logic, bench
from kyupy.logic import MVArray, BPArray
from kyupy.sim import SimPrim


def test_nand_delays():
    op = (SimPrim.NAND4, 4, 0, 1, 2, 3)
    #op = (0b0111, 4, 0, 1)
    c = np.full((5*16, 1), TMAX)  # 5 waveforms of capacity 16
    vat = np.zeros((5, 3), dtype='int')
    for i in range(5): vat[i] = i*16, 16, 0  # 1:1 mapping

    # SDF specifies IOPATH delays with respect to output polarity
    # SDF pulse rejection value is determined by IOPATH causing last transition and polarity of last transition
    line_times = np.zeros((5, 2, 2))
    line_times[0, 0, 0] = 0.1  # A -> Z rise delay
    line_times[0, 0, 1] = 0.2  # A -> Z fall delay
    line_times[0, 1, 0] = 0.1  # A -> Z negative pulse limit (terminate in rising Z)
    line_times[0, 1, 1] = 0.2  # A -> Z positive pulse limit
    line_times[1, :, 0] = 0.3  # as above for B -> Z
    line_times[1, :, 1] = 0.4
    line_times[2, :, 0] = 0.5  # as above for C -> Z
    line_times[2, :, 1] = 0.6
    line_times[3, :, 0] = 0.7  # as above for D -> Z
    line_times[3, :, 1] = 0.8
    
    sdata = np.asarray([1, -1, 0, 0], dtype='float32')

    def wave_assert(inputs, output):
        for i, a in zip(inputs, c.reshape(-1,16)): a[:len(i)] = i
        wave_eval_cpu(op, c, vat, 0, line_times, sdata)
        for i, v in enumerate(output): np.testing.assert_allclose(c.reshape(-1,16)[4,i], v)

    wave_assert([[TMAX,TMAX],[TMAX,TMAX],[TMIN,TMAX],[TMIN,TMAX]], [TMIN,TMAX]) # NAND(0,0,1,1) => 1
    wave_assert([[TMIN,TMAX],[TMAX,TMAX],[TMIN,TMAX],[TMIN,TMAX]], [TMIN,TMAX]) # NAND(1,0,1,1) => 1
    wave_assert([[TMIN,TMAX],[TMIN,TMAX],[TMIN,TMAX],[TMIN,TMAX]], [TMAX])      # NAND(1,1,1,1) => 0

    # Keep inputs C=1 and D=1.
    wave_assert([[1,TMAX],[2,TMAX]], [TMIN,2.4,TMAX])              # _/⎺⎺⎺ NAND __/⎺⎺ => ⎺⎺⎺\___ (B->Z fall delay)
    wave_assert([[TMIN,TMAX],[TMIN,2,TMAX]],  [2.3,TMAX])          # ⎺⎺⎺⎺⎺ NAND ⎺⎺\__ => ___/⎺⎺⎺ (B->Z rise delay)
    wave_assert([[TMIN,TMAX],[TMIN,2,2.35,TMAX]], [2.3,2.75,TMAX]) # ⎺⎺⎺⎺⎺ NAND ⎺\_/⎺ => __/⎺⎺\_ (pos pulse, .35@B -> .45@Z)
    wave_assert([[TMIN,TMAX],[TMIN,2,2.25,TMAX]], [TMAX])          # ⎺⎺⎺⎺⎺ NAND ⎺\_/⎺ => _______ (pos pulse, .25@B -> .35@Z, filtered)
    wave_assert([[TMIN,TMAX],[2,2.45,TMAX]], [TMIN,2.4,2.75,TMAX]) # ⎺⎺⎺⎺⎺ NAND _/⎺\_ => ⎺⎺\_/⎺⎺ (neg pulse, .45@B -> .35@Z)
    wave_assert([[TMIN,TMAX],[2,2.35,TMAX]], [TMIN,TMAX])          # ⎺⎺⎺⎺⎺ NAND _/⎺\_ => ⎺⎺⎺⎺⎺⎺⎺ (neg pulse, .35@B -> .25@Z, filtered)


def test_tiny_circuit():
    c = bench.parse('input(x, y) output(a, o, n) a=and(x,y) o=or(x,y) n=not(x)')
    lt = np.zeros((len(c.lines), 2, 2))
    lt[:,0,:] = 1.0  # unit delay for all lines
    wsim = WaveSim(c, lt)
    assert len(wsim.s) == 5
    
    # values for x
    wsim.s[0,0,:3] = 0, 0.1, 0
    wsim.s[0,1,:3] = 0, 0.2, 1
    wsim.s[0,2,:3] = 1, 0.3, 0
    wsim.s[0,3,:3] = 1, 0.4, 1

    # values for y
    wsim.s[1,0,:3] = 1, 0.5, 0
    wsim.s[1,1,:3] = 1, 0.6, 0
    wsim.s[1,2,:3] = 1, 0.7, 0
    wsim.s[1,3,:3] = 0, 0.8, 1
    
    wsim.s_to_c()

    x_c_loc = wsim.vat[wsim.ppi_offset+0, 0] # check x waveforms
    np.testing.assert_allclose(wsim.c[x_c_loc:x_c_loc+3, 0], [TMAX, TMAX, TMAX])
    np.testing.assert_allclose(wsim.c[x_c_loc:x_c_loc+3, 1], [0.2, TMAX, TMAX])
    np.testing.assert_allclose(wsim.c[x_c_loc:x_c_loc+3, 2], [TMIN, 0.3, TMAX])
    np.testing.assert_allclose(wsim.c[x_c_loc:x_c_loc+3, 3], [TMIN, TMAX, TMAX])

    y_c_loc = wsim.vat[wsim.ppi_offset+1, 0] # check y waveforms
    np.testing.assert_allclose(wsim.c[y_c_loc:y_c_loc+3, 0], [TMIN, 0.5, TMAX])
    np.testing.assert_allclose(wsim.c[y_c_loc:y_c_loc+3, 1], [TMIN, 0.6, TMAX])
    np.testing.assert_allclose(wsim.c[y_c_loc:y_c_loc+3, 2], [TMIN, 0.7, TMAX])
    np.testing.assert_allclose(wsim.c[y_c_loc:y_c_loc+3, 3], [0.8, TMAX, TMAX])

    wsim.c_prop()

    a_c_loc = wsim.vat[wsim.ppo_offset+2, 0] # check a waveforms
    np.testing.assert_allclose(wsim.c[a_c_loc:a_c_loc+3, 0], [TMAX, TMAX, TMAX])
    np.testing.assert_allclose(wsim.c[a_c_loc:a_c_loc+3, 1], [1.2, 1.6, TMAX])
    np.testing.assert_allclose(wsim.c[a_c_loc:a_c_loc+3, 2], [TMIN, 1.3, TMAX])
    np.testing.assert_allclose(wsim.c[a_c_loc:a_c_loc+3, 3], [1.8, TMAX, TMAX])

    o_c_loc = wsim.vat[wsim.ppo_offset+3, 0] # check o waveforms
    np.testing.assert_allclose(wsim.c[o_c_loc:o_c_loc+3, 0], [TMIN, 1.5, TMAX])
    np.testing.assert_allclose(wsim.c[o_c_loc:o_c_loc+3, 1], [TMIN, TMAX, TMAX])
    np.testing.assert_allclose(wsim.c[o_c_loc:o_c_loc+3, 2], [TMIN, 1.7, TMAX])
    np.testing.assert_allclose(wsim.c[o_c_loc:o_c_loc+3, 3], [TMIN, TMAX, TMAX])
    
    n_c_loc = wsim.vat[wsim.ppo_offset+4, 0] # check n waveforms
    np.testing.assert_allclose(wsim.c[n_c_loc:n_c_loc+3, 0], [TMIN, TMAX, TMAX])
    np.testing.assert_allclose(wsim.c[n_c_loc:n_c_loc+3, 1], [TMIN, 1.2, TMAX])
    np.testing.assert_allclose(wsim.c[n_c_loc:n_c_loc+3, 2], [1.3, TMAX, TMAX])
    np.testing.assert_allclose(wsim.c[n_c_loc:n_c_loc+3, 3], [TMAX, TMAX, TMAX])

    wsim.c_to_s()

    # check a captures
    np.testing.assert_allclose(wsim.s[2, 0, 3:7], [0, TMAX, TMIN, 0])
    np.testing.assert_allclose(wsim.s[2, 1, 3:7], [0, 1.2, 1.6, 0])
    np.testing.assert_allclose(wsim.s[2, 2, 3:7], [1, 1.3, 1.3, 0])
    np.testing.assert_allclose(wsim.s[2, 3, 3:7], [0, 1.8, 1.8, 1])

    # check o captures
    np.testing.assert_allclose(wsim.s[3, 0, 3:7], [1, 1.5, 1.5, 0])
    np.testing.assert_allclose(wsim.s[3, 1, 3:7], [1, TMAX, TMIN, 1])
    np.testing.assert_allclose(wsim.s[3, 2, 3:7], [1, 1.7, 1.7, 0])
    np.testing.assert_allclose(wsim.s[3, 3, 3:7], [1, TMAX, TMIN, 1])

    # check o captures
    np.testing.assert_allclose(wsim.s[4, 0, 3:7], [1, TMAX, TMIN, 1])
    np.testing.assert_allclose(wsim.s[4, 1, 3:7], [1, 1.2, 1.2, 0])
    np.testing.assert_allclose(wsim.s[4, 2, 3:7], [0, 1.3, 1.3, 1])
    np.testing.assert_allclose(wsim.s[4, 3, 3:7], [0, TMAX, TMIN, 0])


def compare_to_logic_sim(wsim: WaveSim):
    tests = MVArray((len(wsim.s_nodes), wsim.sims))
    choices = np.asarray([logic.ZERO, logic.ONE, logic.RISE, logic.FALL], dtype=np.uint8)
    rng = np.random.default_rng(10)
    tests.data[...] = rng.choice(choices, tests.data.shape)

    wsim.s[:, :, 0] = (tests.data & 2) >> 1
    wsim.s[:, :, 3] = (tests.data & 2) >> 1
    wsim.s[:, :, 1] = 0.0
    wsim.s[:, :, 2] = tests.data & 1
    wsim.s[:, :, 6] = tests.data & 1
    
    wsim.s_to_c()
    wsim.c_prop()
    wsim.c_to_s()

    resp = MVArray(tests)
    resp.data[...] = np.array(wsim.s[:, :, 6], dtype=np.uint8) | (np.array(wsim.s[:, :, 3], dtype=np.uint8)<<1)
    resp.data |= ((resp.data ^ (resp.data >> 1)) & 1) << 2  # transitions

    tests_bp = BPArray(tests)    
    lsim = LogicSim(wsim.circuit, len(tests_bp))
    lsim.assign(tests_bp)
    lsim.propagate()
    exp_bp = BPArray(tests_bp)
    lsim.capture(exp_bp)
    exp = MVArray(exp_bp)

    for i in range(8):
        exp_str = exp[i].replace('P', '0').replace('N', '1')
        res_str = resp[i].replace('P', '0').replace('N', '1')
        assert res_str == exp_str


def test_b14(b14_circuit, b14_timing):
    compare_to_logic_sim(WaveSim(b14_circuit, b14_timing, 8))


def test_b14_strip_forks(b14_circuit, b14_timing):
    compare_to_logic_sim(WaveSim(b14_circuit, b14_timing, 8, strip_forks=True))


def test_b14_cuda(b14_circuit, b14_timing):
    compare_to_logic_sim(WaveSimCuda(b14_circuit, b14_timing, 8, strip_forks=True))